Full Stack & AI
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Job Summary
Microsoft Industry Solutions Global Center for Innovation and Delivery (GCID) delivers endtoend industryaligned solutions by accelerating customer adoption of Microsoft technologies. With a global team of 1000 professionals GCID offers earlycareer engineers a collaborative environment to work on realworld customer challenges and build consulting cloud and application development skills. As aConsultant Full Stack AI Application Developer (Azure)you will contribute to the design development and deployment of modern cloudbased applications partnering with senior engineers and role is ideal for developers eager to strengthen fullstack skills deepen Azureexpertise and gain exposure to AIenabled application patterns in enterprise delivery. |
Responsibilities
- Design and build cloudnative fullstack applications on Microsoft Azure contributing across UI API services and data layers with highquality secure and scalable code.
- Collaborate with architects and senior consultants to translate business requirements into technical designs and implementation plans;participatein design reviews and solution walkthroughs.
- Own feature delivery endtoend: estimate effort implement features write unit/integration tests perform code reviews and support deployment through CI/CD pipelines.
- Integrate backend services and data platforms implement RESTful APIs and ensure performance reliability and observability (logging metrics traces) for production readiness.
- Apply security compliance and Responsible AI principles across application development and operations following Microsoft and customer governance standards.
- Identifytechnical risks and dependencies early; raise and help mitigate issues support technical escalations and contribute to contingency plans for smooth delivery.
- Reuse and contribute to shared frameworks and IPleveragingbest practices accelerators and patterns to improve delivery speed and predictability.
- Collaborate crossfunctionally (e.g. project leads delivery managers account teams) to articulate technical value support adoption and ensure customer outcomes.
- Continuously learn and improve adopt modern engineering practices (DevSecOps automation testing cloud monitoring) and sharing learnings with the team.
Qualifications
4-10 years of professional software development experience.
Bachelors degree in computer science Engineering or a related discipline or equivalent practical experience.
Microsoft or cloud certifications are preferred including but not limited to:
MCSD/MCAD/MCSEAZ204 AI900 AI102 or equivalent entry to midlevel cloud and AI certifications.
FullStack Application Development
Handson experience designing and building applications (C#) .NET Web APIs withmodern frontend technologies such as JavaScript or TypeScript and frameworks like Angular or React.
Strong understanding of application development across UI API service integration and data layers.
Experience building and consuming RESTful services and integrating backend systems.
Working knowledge of relational databases such as Azure SQLAzure Cosmos DBPostgreSQLAzureSQLmanaged InstanceorAzure Database forMySQL including data access and performance considerations.
Solid foundation in software engineering principles including clean code debugging testing and problemsolving.
AIEnabled Application Development
Handson experience integrating AI capabilities into applications such as search chat recommendations or content generation using AI services or APIs.
Practical knowledge of Azure AI services including Azure AI Foundry and Azure AI Search and understanding of RAG (RetrievalAugmented Generation) patterns.
Experience with RAG pipelines vector search workflows or agentbased patterns using tools such as Semantic KernelLangChain or similar frameworks.
Experience with prompt engineering and optimization to build reliable highquality AIdriven application workflows.
Working knowledge of Python for implementing AI workflows automation or AIassisted application components.
Understanding and application of Responsible AI principles in designing and delivering AIenabled solutions.
Cloud & DevOps
Experience working with Microsoft Azure for application hosting configuration and deployment.
Familiarity with CI/CD pipelines source control (Git) and automated build and release processes.
Basic experience with application monitoring logging and troubleshooting in cloud environments.
Understandingsecure application development practices including authentication and authorization.
GoodtoHave / Preferred Skills
Exposure to evaluation and tuning techniques for improving AI response quality and reliability.
Familiarity with microservices and serverless architectures including Azure Functions containers or Kubernetes.
Awareness of deployment strategies such as blue/green or canary releases.
Exposure to endtoend observability concepts (metrics traces).
Experience with opensource technologies or familiarity with platforms beyond Azure (e.g. Java AWS or Google Cloud Platform).
Domain exposure to industries such as financial services healthcare manufacturing or retail.
Consulting Mindset & Collaboration
Ability to work closely with senior consultants architects and customers to co-create innovative solutions with customers to help solve their business challenges
Strong communicationskills to explain technical concepts to business stakeholders
Comfortable working in ambiguous environments learning quickly and adapting to change
Eagerness to build engineering excellence reusable components and best practices
Growth & Learning Orientation
Strong interest in continuous learning and technical certifications
Curiosity to explore emerging data and AI technologies
Willingness to receive feedback grow technical depth and expand ownership over time
Other
Embody ourcultureandvalues
This position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.
Required Experience:
IC
